A potential role of preexisting inflammation in the development of acute myelopathy following CAR T-cell therapy for diffuse large B-cell lymphoma.

The event of anti-CD19 chimeric antigen receptor (CAR)-T therapy inducing serious neurotoxicity in patients with diffuse large B-cell lymphoma (DLBCL) is recognized; however, the patterns of symptoms and severity vary greatly from patient to patient. We report an exceptional presentation of acute myelopathy in a refractory DLBCL following successful CAR-T treatment along with grade 3 cytokine release syndrome (CRS) and neurotoxicity. The patient was initiated on high-dose methylprednisolone (MPS) resulting in rapid improvement of neurological symptoms. Yet the myelopathy patient (MP) experienced severe lower limb motor deficit, and a subsequent spinal cord MRI revealed myelopathy with a sensory level at segment T2. Multimodal therapy consisting of MPS, intravenous immunoglobulin and anakinra therapy resulted in complete reversal of myelopathy condition and the patient remained cancer free. The assessment of time trends of serum cytokines at baseline and post CAR-T infusion in MP compared to other 4 DLBCL complete responder patients with varying degree of CRS following CAR-T infusion, suggested pre-existing baseline inflammatory conditions in MP with altered levels of cytokines. These findings, if corroborated by similar case studies, have the potential to generate novel insights into the manifestation of myelopathy following CAR-T therapy and the successful clinical management of such complications.

Characterization of the novel HLA-A*30:02:28 allele by sequencing-based typing.

HLA-A*30:02:28 differs from HLA-A*30:02:01:01 by one nucleotide substitution in codon 47 in exon 2.

[Immunomonitoring of patients treated with CAR-T cells for hematological malignancy: Guidelines from the CARTi group and the Francophone Society of Bone Marrow Transplantation and Cellular Therapy (SFGM-TC)]. / Suivi immunologique des patients traités par cellules CAR-T pour hémopathie maligne: recommandations du groupe CARTi et de la Société francophone de greffe de moelle et de thérapie cellulaire (SFGM-TC).

CAR-T cells represent a new anti-tumor immunotherapy which has shown its clinical efficacy in B-cell malignancies. The results of clinical trials carried out in this context have shown that certain immunological characteristics of patients before (at the time of apheresis) and after the administration of the treatment, or of the CAR-T cells themselves, are correlated with the response to the treatment or to its toxicity. However, to date, there are no recommendations on the immunological monitoring of patients treated in real life. The objectives of this workshop were to determine, based on data from the literature and the experience of the centers, the immunological analyses to be carried out in patients treated with CAR-T cells. The recommendations relate to the characterization of the patient's immune cells at the time of apheresis, the characterization of the injected CAR-T cells, as well as the monitoring of the CAR-T cells and other parameters of immune reconstitution in the patient after administration of the treatment. Harmonization of practices will allow clinical-biological correlation studies to be carried out in patients treated in real life with the aim of identifying factors predictive of response and toxicity. Such data could have a major medico-economic impact by making it possible to identify the patients who will optimally benefit from these expensive treatments.

Droplet digital PCR allows vector copy number assessment and monitoring of experimental CAR T cells in murine xenograft models or approved CD19 CAR T cell-treated patients.

BACKGROUND: Genetically engineered chimeric antigen receptor (CAR) T lymphocytes are promising therapeutic tools for cancer. Four CAR T cell drugs, including tisagenlecleucel (tisa-cel) and axicabtagene-ciloleucel (axi-cel), all targeting CD19, are currently approved for treating B cell malignancies. Flow cytometry (FC) remains the standard for monitoring CAR T cells using a recombinant biotinylated target protein. Nevertheless, there is a need for additional tools, and the challenge is to develop an easy, relevant, highly sensitive, reproducible, and inexpensive detection method. Molecular tools can meet this need to specifically monitor long-term persistent CAR T cells. METHODS: Based on 2 experimental CAR T cell constructs, IL-1RAP and CS1, we designed 2 quantitative digital droplet (ddPCR) PCR assays. By targeting the 4.1BB/CD3z (28BBz) or 28/CD3z (28z) junction area, we demonstrated that PCR assays can be applied to approved CD19 CAR T drugs. Both 28z and 28BBz ddPCR assays allow determination of the average vector copy number (VCN) per cell. We confirmed that the VCN is dependent on the multiplicity of infection and verified that the VCN of our experimental or GMP-like IL-1RAP CAR T cells met the requirement (< 5 VCN/cell) for delivery to the clinical department, similar to approved axi-cel or tisa-cel drugs. RESULTS: 28BBz and 28z ddPCR assays applied to 2 tumoral (acute myeloid leukemia (AML) or multiple myeloma (MM) xenograft humanized NSG mouse models allowed us to quantify the early expansion (up to day 30) of CAR T cells after injection. Interestingly, following initial expansion, when circulating CAR T cells were challenged with the tumor, we noted a second expansion phase. Investigation of the bone marrow, spleen and lung showed that CAR T cells disseminated more within these tissues in mice previously injected with leukemic cell lines. Finally, circulating CAR T cell ddPCR monitoring of R/R acute lymphoid leukemia or diffuse large B cell lymphoma (n = 10 for tisa-cel and n = 7 for axi-cel) patients treated with both approved CAR T cells allowed detection of early expansion, which was highly correlated with FC, as well as long-term persistence (up to 450 days), while FC failed to detect these events. CONCLUSION: Overall, we designed and validated 2 ddPCR assays allowing routine or preclinical monitoring of early- and long-term circulating approved or experimental CAR T cells, including our own IL-1RAP CAR T cells, which will be evaluated in an upcoming phase I clinical trial.

Antibodies against HLA cross-reactivity groups: From single antigen bead assay to immunoinformatics interpretation of epitopes.

Identification of anti-human leukocyte antigen (HLA) antibodies (Abs) is based on Luminex™ technology. We used bioinformatics to (i) study the correlations of mean fluorescence intensities (MFIs) for all the possible allele pairs, and (ii) determine the degree of epitope homology between HLA antigens. Using MFI data on anti-HLA Abs from 6000 Luminex™ assays, we provide an updated overview of class I and II HLA antigen cross-reactivity in which each node corresponded to an allele and each link corresponded to a strong correlation between two alleles (Spearman's ρ > 0.8). We compared these correlations with the serological groups and the results of an epitope analysis. The strongest correlations concerned allele-specific Abs directed against the same antigen. For the HLA-A locus, the highest values of Spearman's ρ reflected broad specificity. For the HLA-B locus, graphs defined the HLA-Bw4 public epitope, and correlations between HLA-A and -B alleles were only present for beads with the same Bw4 public epitope. For the HLA-C locus, we identified two groups that differed with regard to their KIR ligand subclassification. Lastly, the HLA-DRB1 subgroups were part of a network. In the epitope analysis, Spearman's ρ was related to the number of matched epitopes within pairs of alleles. The combination of Spearman's ρ with simple, undirected graphing constitutes an effective tool for understanding routinely encountered cross-reactivity profiles. Based on this model, we have implemented an online data visualization tool available at http://cusureau.pythonanywhere.com/.

Vascular Endothelial Damage in the Pathogenesis of Organ Injury in Severe COVID-19.

[Figure: see text].

A Real-Time Quantitative PCR Targeting the Viral Vector for the Monitoring of Patients Treated with Axicabtagene Ciloleucel.

Axicabtagene ciloleucel or axi-cel [CD19 chimeric antigen receptor (CAR) T cell] has been recently approved for refractory/relapsed diffuse large B-cell lymphoma and primary mediastinal B-cell lymphoma. Proliferation of CAR T cells after infusion and their persistence have been reported as important factors. Laboratory tools are needed for the monitoring of patients. We developed a vector-based, simple, and accurate real-time quantitative PCR (qPCR) to measure axi-cel vector copy number in peripheral blood samples. Primers and probe targeting the 5'LTR region of the gammaretroviral vector (mouse stem cell virus) were designed for amplification. To generate standard curves, mouse stem cell virus plasmid was subcultured and quantified using droplet digital PCR. The method was applied to quantify vector copy number in blood samples from patients treated with axi-cel. The limit of quantification of the qPCR assay was established at 2.2 copies/µL in DNA eluate. The qPCR method was well correlated with flow cytometry findings; however, the assay appeared to be more sensitive than flow cytometry. The kinetics observed in blood samples from treated patients were in agreement with previously reported findings. In conclusion, we developed a sensitive and accurate qPCR assay for the quantification of transgenic CAR T cells, which can be a useful additional tool for the monitoring of patients treated with axi-cel.

Monitoring CAR T-cells using flow cytometry.

BACKGROUND: Chimeric antigen receptor (CAR) T-cell therapy is considered as a major scientific breakthrough in cancer immunotherapy. The success of adoptive CAR T-cell therapy for cancer has inspired researchers to expand indications into the area of solid tumors, autoimmune and infectious diseases. The most important factors influencing outcome and durability of the response after infusion of CAR T-cell are proliferation and persistence of this cell subset. It becomes therefore important to detect easily and monitor circulating CAR T-cells into blood samples. Approaches such as quantitative PCR (qPCR) or flow cytometry have been developed. The aim of this study was to set up and optimize a reachable flow cytometry technique using labeled CD19 protein for the measurement of CAR T-cells in infusion bag and patient's blood. METHODS: Patients receiving Yescarta in Cell Therapy Unit (Department of hematology, Lille university hospital, France) between April and October 2019 and healthy volunteers were included to set up the flow cytometry technique. RESULTS AND CONCLUSIONS: We assessed feasibility in clinic and suitability to routine workload of a flow cytometry technique to follow CAR T-cells in infusion bag and patient's blood. With only a few manual steps, the present protocol allows the technician to perform this technique among other routine tasks, meaning a time to results of <2 hr after sample reception. We were also able to assess CAR T-cell heterogenity in terms of CD4+ and CD8+ T lymphocytes within the subset. Moreover, this technique allows monitoring of both authority approved CD19 CAR T-cell.

Characterization of the novel HLA-C*16:173 allele by sequencing-based typing.

HLA-C*16:173 differs from HLA-C*16:01:01:01 by one nucleotide substitution in codon 36 in exon 2.

Characterization of the novel HLA-DQB1*06:371 allele by sequencing-based typing.

HLA-DQB1*06:371 differs from HLA-DQB1*06:03:01:01 by one nucleotide substitution in codon 46 in exon 2.

Characterization of the novel HLA-A*11:376 allele by sequencing-based typing.

HLA-A*11:376 differs from HLA-A*11:01:01:01 by one nucleotide substitution in codon 168 in exon 3.

Characterization of the novel HLA-DQB1*06:374 allele by sequencing-based typing.

HLA-DQB1*06:374 differs from HLA-DQB1*06:02:01:01 by one nucleotide substitution in codon 62 in exon 2.

Characterization of the novel HLA-A*02:939 allele by sequencing-based typing.

HLA-A*02:939 differs from HLA-A*02:01:01:01 by one nucleotide substitution in codon 222 in exon 4.

Severe SARS-CoV-2 patients develop a higher specific T-cell response.

OBJECTIVES: Assessment of the adaptive immune response against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is crucial for studying long-term immunity and vaccine strategies. We quantified IFNγ-secreting T cells reactive against the main viral SARS-CoV-2 antigens using a standardised enzyme-linked immunospot assay (ELISpot). METHODS: Overlapping peptide pools built from the sequences of M, N and S viral proteins and a mix (MNS) were used as antigens. Using IFNγ T-CoV-Spot assay, we assessed T-cell and antibody responses in mild, moderate and severe SARS-CoV-2 patients and in control samples collected before the outbreak. RESULTS: Specific T cells were assessed in 60 consecutive patients (mild, n = 26; moderate, n = 10; and severe patients, n = 24) during their follow-up (median time from symptom onset [interquartile range]: 36 days [28;53]). T cells against M, N and S peptide pools were detected in n = 60 (100%), n = 56 (93.3%), n = 55 patients (91.7%), respectively. Using the MNS mix, IFNγ T-CoV-Spot assay showed a specificity of 96.7% (95% CI, 88.5-99.6%) and a specificity of 90.3% (75.2-98.0%). The frequency of reactive T cells observed with M, S and MNS mix pools correlated with severity and with levels of anti-S1 and anti-RBD serum antibodies. CONCLUSION: IFNγ T-CoV-Spot assay is a reliable method to explore specific T cells in large cohorts of patients. This test may become a useful tool to assess the long-lived memory T-cell response after vaccination. Our study demonstrates that SARS-CoV-2 patients developing a severe disease achieve a higher adaptive immune response.

Characterization of the novel HLA-B*18:161 allele by sequencing-based typing.

HLA-B*18:161 differs from HLA-B*18:01:01:01 by one nucleotide substitution in codon 136 in exon 3.

Characterization of the novel HLA-DQB1*02:141 allele by sequencing-based typing.

HLA-DQB1*02:141 differs from HLA-DQB1*02:02:01:01 by one nucleotide substitution at codon 55 in exon 2.

Characterization of the novel HLA-B*27:198 allele by sequencing-based typing.

HLA-B*27:198 differs from HLA-B*27:05:02:01 by one nucleotide substitution in codon 45 in exon 2.

Characterization of the novel HLA-DQB1*03:01:46 allele by sequencing-based typing.

HLA-DQB1*03:01:46 differs from HLA-DQB1*03:01:01:01 by one nucleotide substitution in codon 142 in exon 3.